Results 81 to 90 of about 15,321 (232)

Evaluation of the Power Demand for Economic Load Dispatch Problem Using Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network

IEEE Access
The evaluation of power demand is fundamental in the Economic Load Dispatch problem, ensuring that the generated power meets the needs of consumers reliably and efficiently in planning system operations.
Somchat Jiriwibhakorn, Kamolwan Wongwut
doaj   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, Volume 5, Issue 2, Page 446-464, June 2026.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

Future Postharvest and Food, Volume 3, Issue 2, Page 185-205, June 2026.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh, Anurag Singh, Ashutosh Upadhyay, Navneet Kumar   +3 more
wiley   +1 more source

Fractional order ANFIS controllers for LFC in RES integrated three-area power system

Journal of Electrical Systems and Information Technology
The existing adaptive neuro-fuzzy inference system (ANFIS) for load frequency control in multi-area power systems has two inputs consisting of area control error (ACE) and its integer order derivative.
Yaw O. M. Sekyere, Francis B. Effah, Philip Y. Okyere   +2 more
doaj   +1 more source

A Novel QoS Prediction Model for Web Services Based on an Adaptive Neuro-Fuzzy Inference System Using COOT Optimization

IEEE Access
The adoption of adaptive neuro-fuzzy inference systems (ANFIS) and metaheuristic optimization approaches has been widely observed in recent research. Even so, integrating these methods improves the model’s capability to solve complex problems.
Thandra Jithendra, Mohammad Zubair Khan, S. Sharief Basha, Raja Das, A. Divya, Chiranji Lal Chowdhary, Abdulrahman Alahmadi, Ahmed H. Alahmadi   +7 more
doaj   +1 more source

Prediction of Ultimate Strain and Strength of FRP-Confined Concrete Cylinders Using Soft Computing Methods

Applied Sciences, 2017
This paper investigates the effectiveness of four different soft computing methods, namely radial basis neural network (RBNN), adaptive neuro fuzzy inference system (ANFIS) with subtractive clustering (ANFIS-SC), ANFIS with fuzzy c-means clustering ...
Iman Mansouri, Ozgur Kisi, Pedram Sadeghian, Chang-Hwan Lee, Jong Wan Hu   +4 more
doaj   +1 more source

AI‐Enabled Next‐Generation Dairy Systems: From Sensors to Smart Processing

Food Science &Nutrition, Volume 14, Issue 6, June 2026.
AI‐enabled Dairy 4.0 technologies integrate big data, IoT, smart sensing, digital twins, and machine learning to address key dairy industry challenges including sustainability, milk quality variability, animal health, traceability, and resource efficiency.
Zeki Erol, Jerina Rugji, Ambreen Hamadani, Henna Hamadani   +3 more
wiley   +1 more source

Artificial Intelligence, Optimization, and Modeling Techniques in Water Resources Management: Challenges and Future Directions

Water Environment Research, Volume 98, Issue 6, June 2026.
This study presents an integrated framework linking six foundational elements of water resources management: watershed modeling, surrogate modeling, optimization, artificial intelligence, decision support systems, and monitoring. The synthesis highlights how connecting these traditionally separate domains fosters smarter, adaptive, and data‐driven ...
Hoda S. Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Gregorio Toscano, Timothy Harrigan, Lewis Linker   +5 more
wiley   +1 more source

Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools

, 2013
Thermal errors can have significant effects on CNC machine tool accuracy. The errors usually come from thermal deformations of the machine elements created by heat sources within the machine structure or from ambient change.
Longstaff, Andrew P., Fletcher, Simon, Abdulshahed, Ali, Myers, Alan   +3 more
core  

Architecture of ANFIS.

, 2022
Architecture of ANFIS.
Xinjin Li (1697176), Liping Zhao (147534), Fengrui Wei (14247876), Wang Yinchai (14247870), Jia Liu (41593), Teh Chee Siong (14247873)   +5 more
core   +1 more source